CAI Bo-gen, WANG Cong-cong, SHANGGUAN Wei, ZHANG Shu-zhong. Simulation method of information interaction in CVIS[J]. Journal of Traffic and Transportation Engineering, 2014, 14(3): 111-119.
Citation: CAI Bo-gen, WANG Cong-cong, SHANGGUAN Wei, ZHANG Shu-zhong. Simulation method of information interaction in CVIS[J]. Journal of Traffic and Transportation Engineering, 2014, 14(3): 111-119.

Simulation method of information interaction in CVIS

More Information
  • Author Bio:

    CAI Bai-gen (1966-), male, professor, PhD, +86-10-51687111, bgcai@bjtu.edu.cn

  • Received Date: 2013-12-09
  • Publish Date: 2014-06-25
  • In order to improve the communication quality of information interaction network in cooperative vehicle infrastructure system (CVIS), and realize accurate information interaction within the limited range of time delay, the information interaction platform of CVIS was constructed based on OPNET.Different kinds of vehicular ad hoc network routing protocols were studied, and the optimized method of cluster-based routing protocol based on vehicle position was designed by using the minimum distance routing competition mechanism.The simulation results of the optimized cluster-based routing protocol based on vehicle location and the traditional routing protocol were compared based on OPNET, and the influences of different routing protocols on the communication performances of CVIS were analyzed.At the same time, two types of channel access protocols including DCF and PCF were simulated and compared.Simulation result indicates that the cluster-header change rate of cluster-based routing protocol based on vehicle position is 1.47 times·s-1.The time delays of cluster-based routing protocol based on vehicle position respectively reduce by 18.92% and 26.90% compared to AODV and DSR, and respectively reduce by 14.20% and 21.54% compared to cluster-based routing protocolbased on the highest degree and node ID.The network loads of proposed cluster-based routing protocol respectively reduce by 20.83% and 22.92% compared to AODV and DSR.The channel access protocol of PCF performs better than DCF by 29.60% in the aspect of time delay.

     

  • loading
  • [1]
    YI Zhen-guo. Vehicle infrastructure integration experimental testing system and safety control technology[D]. Changchun: Jilin University, 2011. (in Chinese).
    [2]
    MA Xiao-min, ZHANG Jin-song, YIN Xiao-yan, et al. Design and analysis of a robust broadcast scheme for VANET safetyrelated services[J]. IEEE Transactions on Vehicular Technology, 2012, 61 (1): 46-61. doi: 10.1109/TVT.2011.2177675
    [3]
    WISITPONGPHAN N, TONGUZ O K, PARIKH J S, et al. Broadcast storm mitigation techniques in vehicular ad hoc networks[J]. IEEE Wireless Communications, 2007, 14 (6): 84-94. doi: 10.1109/MWC.2007.4407231
    [4]
    PANICHPAPIBOON S, PATTARA-ATIKOM W. A review of information dissemination protocols for vehicular ad hoc networks[J]. IEEE Communications Surveys and Tutorials, 2012, 14 (3): 784-798.
    [5]
    SIKDAR B. Comparison of broadcasting schemes for infrastructure to vehicular communications[J]. IEEE Transactions on Intelligent Transportation Systems, 2012, 13 (2): 492-502. doi: 10.1109/TITS.2011.2182193
    [6]
    TOUTOUH J, GARCIA-NIETO J, ALBA E. Intelligent OLSR routing protocol optimization for VANETs[J]. IEEE Transactions on Vehicular Technology, 2012, 61 (4): 1884-1894. doi: 10.1109/TVT.2012.2188552
    [7]
    KHOKHAR R H, NGADI M A, LATIFF M S, et al. Multi-criteria receiver self-election scheme for optimal packet forwarding in vehicular ad hoc networks[J]. International Journal of Computers Communication and Control, 2012, 7 (5): 865-878.
    [8]
    ZHOU Lian-ke, ZUO De-cheng, CUI Gang, et al. A nodetraffic characteristics considered clustering broadcast protocol for VANETs[J]. Chinese High Technology Letters, 2012, 22 (5): 468-476. (in Chinese).
    [9]
    RAWASHDEH Z Y, MAHMUD S M. A novel algorithm to form stable clusters in vehicular ad hoc networks on highways[J]. EURASIP Journal on Wireless Communications and Networking, 2012, 2012 (1): 1-13. doi: 10.1186/1687-1499-2012-1
    [10]
    CHENG S T, HORNG G J, CHOU C L. Using cellular automata to form car society in vehicular ad hoc networks[J]. IEEE Transactions on Intelligent Transportation Systems, 2011, 12 (4): 1374-1384. doi: 10.1109/TITS.2011.2158211
    [11]
    WANG Fu-rong, YAO Ya-qian, ZHANG Fan, et al. Interactive network simulation technology based on the high level architecture[J]. Journal of System Simulation, 2006, 18 (9): 2488-2491. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-XTFZ200609028.htm
    [12]
    ZHANG Yong-sheng. Simulation of ad hoc military communication network based on OPNET[D]. Xi'an: Xidian University, 2007. (in Chinese).
    [13]
    LIU Qiang, KUANG Jing-ming, WANG Hua. Distributed tactical communication network simulation based on HLA[J]. Computer Engineering, 2006, 32 (12): 96-98. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-JSJC200612036.htm
    [14]
    LUO Wei. To simulate channel access technology of IEEE802.11based on OPNET[J]. Computer Engineering and Software, 2010, 31 (12): 37-41. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-RJZZ201012013.htm
    [15]
    WANG Wen-bo. The research of access mechanism in IEEE802.11DCF[D]. Beijing: Beijing University of Posts and Telecommunications, 2009. (in Chinese).
    [16]
    LIAO Fei-xiong, ARENTZE T, TIMMERMANS H. Multistate supernetworks: recent progress and prospects[J]. Journal of Traffic and Transportation Engineering: English Edition, 2014, 1 (1): 13-27. doi: 10.1016/S2095-7564(15)30085-4

Catalog

    Article Metrics

    Article views (792) PDF downloads(1109) Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return